Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Lingshuai Zhang"'
Publikováno v:
Case Studies in Construction Materials, Vol 21, Iss , Pp e04034- (2024)
Soil stabilization involves modifying the physical and chemical properties of soil to enhance its engineering performance for construction purposes. Due to inherent variations in these properties, the mechanical characteristics of stabilized soils ca
Externí odkaz:
https://doaj.org/article/c9a801f4df784d2aa4f1ee6d6d4b2e2a
Publikováno v:
Case Studies in Construction Materials, Vol 19, Iss , Pp e02667- (2023)
An attempt to recycle construction waste soils in southern cities of China was presented in this study, where completely decomposed granite (CDG) was utilized to replace fly ash in the production of environment-friendly low-carbon geopolymers. Five c
Externí odkaz:
https://doaj.org/article/176675332d794707b683d72b1e390478
Autor:
Xiaomin Xia, Ying Liao, Jiaxing Liu, Sze Ki Leung, Pui Yin Lee, Lingshuai Zhang, Yehui Tan, Hongbin Liu
Publikováno v:
mSystems, Vol 8, Iss 1 (2023)
ABSTRACT Cluster 5 Synechococcus is one of the most important primary producers on earth. However, ecotypes of this genus exhibit complex geographical distributions, and the genetic basis of niche partitioning is still not fully understood. Here, we
Externí odkaz:
https://doaj.org/article/6ffeb0797efe437291797e8ab5d62ff2
Autor:
Shengwu Qin, Xu Guo, Jingbo Sun, Shuangshuang Qiao, Lingshuai Zhang, Jingyu Yao, Qiushi Cheng, Yanqing Zhang
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3383 (2021)
Using convolutional neural network (CNN) methods and satellite images for landslide identification and classification is a very efficient and popular task in geological hazard investigations. However, traditional CNNs have two disadvantages: (1) insu
Externí odkaz:
https://doaj.org/article/fe6b18494daa4abbbb031df564905e8c
Autor:
Shengwu Qin, Lingshuai Zhang
At present, the deformation characteristics of foundation pits in soft clay subjected to cyclic loading caused by various heavy traffic flow rates are still ambiguous. In this study, the impact of traffic flow rate on the deformation characteristics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddfe7dca7c2f30b95b3f2d58db678df8
https://doi.org/10.22541/essoar.167338521.11236443/v1
https://doi.org/10.22541/essoar.167338521.11236443/v1
Autor:
Xiaomin Xia, Ying Liao, Jiaxing Liu, Sze Ki Leung, Pui Yin Lee, Lingshuai Zhang, Yehui Tan, Hongbin Liu
Publikováno v:
MSystems; Feb2023, Vol. 8 Issue 1, p1-17, 17p
Publikováno v:
Journal of Oceanology and Limnology. 40:620-633
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7302b40f406a17130cbf3d61f45bd01f
https://doi.org/10.1007/s00343-021-0462-x
https://doi.org/10.1007/s00343-021-0462-x
Publikováno v:
Bulletin of Engineering Geology and the Environment. 81
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8f441fe3fb251c1a89d102eab586642
https://doi.org/10.1007/s10064-022-02615-0
https://doi.org/10.1007/s10064-022-02615-0
Autor:
Lingshuai Zhang, Shengwu Qin, Yanqing Zhang, Jingbo Sun, Qiushi Cheng, Jingyu Yao, Xu Guo, Qiao Shuangshuang
Publikováno v:
Remote Sensing, Vol 13, Iss 3383, p 3383 (2021)
Remote Sensing; Volume 13; Issue 17; Pages: 3383
Remote Sensing; Volume 13; Issue 17; Pages: 3383
Using convolutional neural network (CNN) methods and satellite images for landslide identification and classification is a very efficient and popular task in geological hazard investigations. However, traditional CNNs have two disadvantages: (1) insu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::978e19756a49a4d41808bad6805738e4
https://doi.org/10.3390/rs13173383
https://doi.org/10.3390/rs13173383
Autor:
Li, Penglei1 (AUTHOR), Wang, Yi1 (AUTHOR) cug.yi.wang@gmail.com, Si, Tongzhen2 (AUTHOR), Ullah, Kashif1 (AUTHOR), Han, Wei3 (AUTHOR), Wang, Lizhe3 (AUTHOR)
Publikováno v:
International Journal of Digital Earth. Jan2023, Vol. 16 Issue 1, p2426-2447. 22p.